Yu-Hsuan Kuo

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Privacy & Security — 19 citations into it
• Computer Science Applications — 8 citations into it

Whom Yu-Hsuan Kuo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Cynthia Dwork
2. Kamalika Chaudhuri
3. Michael Hay
4. Arpita Ghosh
5. William M. Waite
6. Frank McSherry
7. Kobbi Nissim
8. Ilya Mironov
9. Vibhor Rastogi
10. Claire Monteleoni

Who trusts Yu-Hsuan Kuo overall

1. Matthew Joseph

Papers from Yu-Hsuan Kuo's perspective

Ordered by how strongly the researchers Yu-Hsuan Kuo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Differential Privacy
3. Differentially Private Empirical Risk Minimization
4. Differentially private recommender systems: building privacy into the net
5. Revealing information while preserving privacy
6. Smooth sensitivity and sampling in private data analysis
7. Differentially private data cubes: optimizing noise sources and consistency
8. Universally utility-maximizing privacy mechanisms
9. Privacy, accuracy, and consistency too: a holistic solution to contingency table release
10. Et al

Their papers

• Differentially Private Hierarchical Count-of-Counts Histograms (2018) — 31 citations
• Differentially Private Hierarchical Group Size Estimation (2018) — 4 citations